Vision Assistance Race
Project 2023-24
Project Title: Vision Assistance Race
Lab/Research Group: Dynamic and Autonomous Robotic Systems Lab
DARoS Lab aims to create high-performance legged robots that can serve real-world tasks for humans. To accomplish this goal, we investigate advanced actuators, control algorithms, planning methods, perception systems, and human-robot interaction frameworks. The integrated perspective of robotic systems and insight into physics and dynamics are highly appreciated in our lab.
Project Description:
The project will be part of the competition, Cybathlon (https://cybathlon.ethz.ch/en): Olympic for people with disability assisted by state-of-art technology. We are participating in Vision Assistance Race, which is designed to support the person with visual impairments to perform navigation and other tasks. This competition will involve interesting research questions such as how to recognize various objects in the field, how to navigate through a complex environment, and how to interact with users without vision. Undergraduate students will join the team and work together with graduate students and pilots over this project.
Learning Objectives:
The biggest lesson will be the understanding of how robotic systems should be designed and programmed to help people who want to get assistance from artificial systems. Specific knowledge gathered from the project depends on which topic is selected but we expect that the students will learn how to utilize the sensor and computing power in a quadruped robot to make it autonomously navigate through the given environment.
Skills needed:
Basic programming skills, preferred to have some knowledge about path planning and visual sensing